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CLEAN AND COMPACT MOBILITY IN EU: MULTI-CRITERIA DECISION MAKING FOR BATTERY ELECTRIC VEHICLES BASED ON INFORMATION ENTROPY AND TOPSIS
Abstract
The European Union-s (EU) ambition to accelerate the transition to renewable energies imposes the shift toward ecological mobility has become a key and very challenging task. High niche models of Battery Electric Vehicles (BEVs) are the flagmen in makers- competition but they are not accessible to the mass consumers. Mini and compact Battery Electric Vehicles (BEVs) are expected to play an increasing role in reducing urban congestion and emissions while promoting affordable and efficient transportation solutions. This study employs Multi-Criteria Decision Making (MCDM) methodologies, specifically Information Entropy and for Order of Preference by Similarity to Ideal Solution (TOPSIS), to evaluate and rank small EV models available in the EU market in 2025. Special attention is attributed to forming a balanced set of adequate criteria. The results support consumers, policymakers, and manufacturers in making informed decisions and promoting effective solutions for accessible and ecological mobility in the EU.
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